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for applications is open until July 15, 2025. For further information and in order to apply, please visit the online jobs portal https://stellenausschreibungen.uni-wuppertal.de . There, you will find the official
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. The sub-project of the Phytophotonics department focuses on analysing hyperspectral imaging data for predicting infestations in field crops. The focal topics of the sub-project include: Realisation of a
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 2 months ago
high-income countries (including the UK). The project will be part of the International Max Planck Research School for Population, Health and Data Science (IMPRS-PHDS) (link ), the Centre for Population
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closely linked to the working group of Prof. Ulf Karsten at the University of Rostock and the overarching program “STB – Shallow Water Processes and Transitions to the Baltic Scale” (STB – Processes in
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of time to find accommodation. For further information, please visit the following link: https://www.lmu.de/en/study/important-contacts/international-office/index.html Rooms in shared flats are popular
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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Position in Synthetic Biology and Metabolic Engineering (m/w/d) to be filled as soon as possible. The position is initially limited to three years. The research group headed by Prof. Dr. Hannes Link
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. Investigate extreme continental climate states using Earth-system model simulations Link model results to proxy data, in particular from the Deep Dust core Present the results at international conferences and
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by 15 June 2025 following the link for vacancies on our homepage (under ‘Career’), or by going directly to the online application form using the link below. Signed cover letter explaining your interest
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for the contactless detection of plant conditions. The position is advertised as part of the international joint project ‘MULTIFUSE: Advanced Multimodal Sensing and Data Fusion for Early Digital Detection of Plant